educationalopportunities. © American Society for Engineering Education, 2023 2023 ASEE Annual ConferenceIntroductionEngineering education is an essential discipline that endeavors to create a learning environmentcapable of developing engineering skill sets, like problem-solving, logical thinking, etc., [1]. Itenables the development of students’ engineering skills providing real-world applicability totheoretical engineering concepts. Despite the significant role of engineering in preparing studentsfor their future careers, educators have faced multiple challenges because of technologicaladvancements and societal developments [2]. Such challenges are related to being out-paced bynew advances of new
SHPE’s Virtual STEM Labs: Engaging and inspiring Hispanic youth to pursue STEM degrees and careers.Background/MotivationSolving the world’s most pressing and complex issues, including the recent pandemic, climateand environmental challenges, and sustainable economic development, is dependent on scientificinnovation. This need is reflected in Science, Technology, Engineering and Mathematics(STEM) occupation growth which has increased 79% since 1990 and is projected to grow by10.8 percent by 2031 [1]. To meet these labor market demands, the United States hasconsistently invested over $500 million dollars in STEM education specifically since 2019 withan emphasis on programs that increase participation of
in Large Sections Anna K. T. Howard, Azadeh Dashti Cole NC State UniversityAbstractThe best paper in the Mechanical Engineering Division at the 2022 ASEE Annual Meeting inMinneapolis showed that student learning increased with weekly quizzes rather than dailyhomework.1 The authors’ work built on several recent papers showing that mastery learning withmultiple attempts at each quiz increased student success.2-4 Engineering Statics at NC StateUniversity has long included daily homework assignments, so the pivot to weekly quizzes willneed to be adopted over multiple semesters and adopted for large enrollment sections.This work-in-progress paper details the methods we used to
varied resources to which students had access and took up as part of their learning.Implications for STEM learning in higher education institutions are also discussed.Keywords: STEM, Diversity, Higher Education, and Culturally Responsive TeachingIntroduction Blacks, Latinx, Native Americans, and women remain underrepresented in science,technology, engineering, and mathematics (STEM) degree programs in postsecondaryeducational systems [1] and STEM-related job areas [2]. Although the number of bachelor’sdegrees awarded in STEM has increased by 62% since 2010, gender, racial, and ethnicrepresentation in related job areas has not [3]-[4, p.14]. Across the United States, universities, corporations, non-profits, and other
of work rather than focusing on relieving the frustrations thatemployees face [1]. Thus, a shift in focus from eliminating external barriers to fulfillingemployee needs may lead to more effective interventions in improving organizational culture.Consistent with that shift, this workplace study emphasizes what faculty need, rather than thebarriers to success that they face, in academia. The basic psychological needs space of both menand women were explored using 31 faculty interviews. A qualitative analysis of the interviewssought to both identify the particular means by which the three basic psychological needs ofautonomy, competence, and relatedness are met or thwarted/frustrated and nuances within eachtype of need that affected faculty
preferences and behaviors of students. Prior to the 1990’s, academic libraries weredesigned to maximize space for physical collections, a trend that changed with the introductionof digital collections. As more materials became available on-line, librarians began rethinkingthe use of their physical spaces to focus more on optimizing student learning experiences. As aresult, the shift in design occurred from individual study, book-centered library spaces to agroup-study learning environment [1].Generation Z (Gen Z) college students, those born from the late 1990’s to the early 2000’s,expect to have choices. When it comes to space, they want to have control of their choices [2].Controlling choices in the moment of need by the student is the definition
engineering education as it supports diversity of ideas,allows students to critically evaluate their work, identify areas for improvement, and develop adeeper understanding of the concepts they are learning [1], [2]. It encourages students to takeownership of their learning. It fosters a growth-mindset, where students are proactive in seekingout opportunities for growth and development. This self-motivated approach to learning preparesstudents for lifelong learning and is essential for success in their careers as engineers. Forinstructors, reflection is equally important as it provides valuable insights into the learningprocess of students. It helps instructors to assess the effectiveness of their teaching methods,identify areas for improvement, and
engineering. We also findthat alumni encounter career challenges in areas of organization-level leadership skills and innavigating possible career and role types. Based on findings, we discuss potential opportunity areasthrough which educators can enhance the effectiveness of EL programs.IntroductionCurricular and co-curricular Engineering Leadership (EL) programs have proliferated across NorthAmerican engineering schools in recent years [1, 2], with over 50 programs now established [2].Many of these programs, however, are in their formative or early operational years, and it is estimatedthat fewer than 10 of the most active programs operating today had launched prior to 2010 [1]. Anew opportunity is therefore emerging for larger-scale, longer-term
variation and dimensions of variation while still inspired bythe broader notion of locus of refinement. We proceeded in two phases.In the first phase, we surfaced dimensions of variation by systematically exploring how thelearning experience both stayed the same and changed from one offering to the next. This wasdone by first noticing similarities and differences with an expansive orientation (similar to opencoding in grounded theory), and then organizing this expansive set of ideas into a first-level setof dimensions. This first phase was conducted by the first author who systematically workedthrough the ten instances. The result was a set of seven dimensions that can be used tocharacterize each of the ten instances: (1) choosing readings, (2
case study.Using the model of intercultural communication competence, suggestions and strategies areprovided in order to offer ideas for STEM faculty to build a healthy relationship with a newChinese graduate student. 1. Introduction:International students are a critical part of enrollments of graduate education at US universities,especially in science, technology, engineering, and mathematics (STEM) disciplines. TheInstitute of International Education's 2021 Open Doors report reveals that, in the academic year2020-2021, the US hosted a total of 914,095 international students [1]. This data emphasizesthe significant role played by international students in the graduate education landscape of theUS. The report further highlights that a
©American Society for Engineering Education, 2023 What Makes an Effective Peer Mentor? Perceptions of Undergraduate Engineering Students During COVID-19IntroductionThis complete research paper is focused on sharing undergraduate engineering students’perceptions of what made an effective peer mentor during COVID-19. These students were at awestern institution of the United States in a college of engineering.Traditionally, mentors are thought to have more experience and may hold more power whencompared to their mentee [1]–[4]. These relationships may tend to be more one-sided, with thesenior mentor conveying information to the junior mentee [2], [4], [5]. Contrastingly, peermentorship are non-hierarchical relationships that occur
is that faculty willbe most active as teachers, not as forefront researchers. The latter is seen as a bonus, and thepossibility of working with a faculty member on research projects is particularly attractive tohighly motivated students, but the nature of these projects is also different from what a doctoralstudent can be expected to execute, and the likelihood of the work attracting funding iscorrespondingly diminished. As Hardin and Hodges (2006) observe, while Tier 1 engineeringprograms view research as a multi-year continuously funded enterprise, smaller schools view itas a largely summer-bounded effort.Because of these and other academic environmental factors, administrators and tenurecommittees evaluating the progress of a tenure track
modeling tools. Advances in the learning scienceshave improved our understanding of how students learn and have clarified how personal andcontextual factors can most impact student success [1]. This project is designed to help to closethe digital divide by providing Hispanic students STEM achievement opportunities usingclassroom-friendly health-data tools that can be seamlessly allied with more advancedtechnologies such as Virtual Reality (VR) and Augmented Reality (AR). Additionally, health-themed modeling and simulation is appropriate for inclusion in designated Makerspaces, whereininnovative maker-themed instruction is the ambition. Through student-parent collaborativelearning experiences focused on students’ individual and their familial
Exploiting a Grading Option to Measure Mathematics Confidence of Engineering StudentsBackgroundIn the study [1], we investigated the impact of COVID-19 on Applied Mathematics (APMA) courses inour Engineering School. Our survey of students who took at least one APMA course during Spring 20,Fall 20, and Spring 21 found that they were more likely to choose credit/no-credit grading for APMAcourses than for their major-related courses. We hypothesized that students lacked confidence in theirAPMA skills and preferred to focus on the major courses. This suggests that COVID-19 has significantlyaffected student performance and perception of APMA courses. Further research is needed to understandthe underlying reasons for these
. Morespecifically, women represent 14.2% of all full professors, 21.4% of all associate professors, and26.5% of all assistant professors in engineering [1]. This data suggests that even as women comeinto positions as tenured/tenure-track faculty members, their progress to higher ranks does notoccur at an equivalent rate to men. The National Center for Science and Engineering Statistics2019 Survey of Doctorate Recipients found that 35,900 people in the United States wereemployed by 4-year colleges in an engineering occupation and 5,950 (16.6%) were women; ofthose, 3,500 (9.7%) were white, 1,850 (5.2%) were Asian, 250 (0.7%) were Black or AfricanAmerican, 300 (0.8%) were Hispanic or Latino, and 100 (0.3%) were more than one race.Statistics on Indigenous
. In addition, the efficiency of design and construction projectteams may also be strengthened throughout this process.IntroductionTeams are structured groups of people working on defined common goals that require coordinatedinteractions to accomplish specific tasks [1]. Each team member contributes knowledge, services,and proficiency to help the team attain its objective. The notion of teams has become the basicbuilding block of present-day organizational designs [2]. Currently, most industries rely onteamwork more than ever to overcome daily challenges. The major goal is setting up teams andensuring they successfully achieve their assigned project outcomes. Teams are usually composedof people with diverse backgrounds, experiences, and
collaboration isneeded. Research Questions 1) How does applying CoP principles in graduate engineering courses impact student perceptions of class effectiveness and preparation for professional engineering work? 2) How do members of traditional engineering groups perceive the contributions of members of underrepresented groups in their CoPs, and (how) do they think about and act to build psychological safety in their CoPs? 3) How do academic CoPs function? What are some best practices, heuristics, and guidelines for effective academic CoPs? MethodsThis study was conducted in a large public research university in the Southeastern United Statesand
Learning in Community of Practice: an Instrument Development and Validation Wei Zhang1, Liang Wang2*, Shuai Wang 2 (1 Institute of China's Science, Technology and Education Policy, Zhejiang University, Hangzhou, 2 School of Public Affairs, Zhejiang University, Hangzhou)Abstract: Authentic engineering learning means that students learn in authentic environments with rich,real-world, immersive, and engaging tasks, which was regarded as an effective way to align engineeringconcepts and principles with ill-structured and complex workplace engineering problems. The purpose ofthis research paper is to describe the development and
results that vary from computational models.The typical method of performing these experiments is the wind tunnel, a device that uses a fan toproduce uniform airflow through a duct that contains a test section, an area in the middle of thetunnel where the test object is placed. Figure 1. Hampton H-6910 Wind Tunnel Western Kentucky University’s Thermo-Fluids Laboratory currently possesses a HampdenModel H-6910 wind tunnel, shown in Fig. 1, designed for educational purposes. A fan on the rightdrives ambient air through the wind tunnel from the left to the right. Air enters the wind tunnelfrom the nozzle on the left. The air passes through the test section, the clear section in middle, inuniform flow. Uniform flow
Paper ID #37007Experiments for a Computing ClassDr. Christi L. Patton Luks, Missouri University of Science and Technology Dr. Patton earned a B.S. in Chemical Engineering from Texas A&M University, an M.S. in Applied Mathematics from The University of Tulsa, and a Ph.D. in Chemical Engineering from The University of Tulsa. She is currently Teaching Professor of Chemical Engineering at Missouri University of Science & Technology and serves as PIC 1 chair until June 2022. ©American Society for Engineering Education, 2023 Experiments for a Computing ClassAbstractThe
traditional reading assignments.Effective inquiry-based learning (IBL) in engineering mechanics courses requires a clear andrelevant driving question, structured inquiry activities, and opportunities for student reflectionand self-assessment. Thus, we will demonstrate the details of the IBLA hands-on models as anopen source for other instructors interested in using them. 1. IntroductionPre-trainingPre-training refers to the process of acquiring knowledge or skills before attending a lecture orother format of learning event. It is an important method to reduce students’ cognitive load whenlearning new concepts during the lecture [1,2]. In addition, pre-training can also help to increasestudent engagement in lectures and learning motivation.Common
College (FSC) has doubled over the past decade whilethe percentage of women in these majors has remained steady at 8-15%. The short-term goal ofthis study was to explore the implementation of institutional initiatives to improve the experienceof women in undergraduate computing degree programs. The long-term goal is to increaseretention and recruitment to balance the gender disparity in enrollment. For this project, FSCdesigned and implemented multiple co-curricular support programs (initiatives). Despite scarcelocal opportunities for funding due to the global COVID19 pandemic, local funding was securedfor these initiatives. This paper presents the three works in progress initiatives started at FSC toaddress gender imbalance, including 1
unclear on what they know and don’t know.Teach for Mastery (TfM) is a concept pioneered in the 1920s 1 with slow but steady research overthe decades, including work by Bloom 2 , and recently made popular by Sal Khan of KhanAcademy in a 2015 TED Talk 3 . The basic idea is let each student progress through the material attheir own individual pace 4,5 . Students can take and re-take both learning modules andassessments as many times as it takes for them to understand the material. This promotes agrowth mindset and encourages students to take time as needed because its never too late (untilthe course ends). TfM is gaining a foothold in higher education and research into it has largelyfound that it has positive effects on student learning 6,7,8 .A
' readiness for work and their mastery of specificcompetencies (e.g., technical skills, communication skills, etc.) has long been of interest to theengineering education community [1]–[4]. Critiques of new engineers’ competencies date backto the 1918 Mann Report and have continued through the last century. More recently, a 2012American Society of Mechanical Engineers report claimed that new graduates lack proficiency inareas like practical experience, problem solving, and design [2]. Other recent studies haveidentified teamwork and communication skills as lacking amongst new engineers [5]–[7]. Martinet al. [8] attempted to categorize what industry expectations are of engineering graduates,dividing attributes into technical and non-technical
classroom-level connections to ABET outcomes, develop assessment tools,and create organizational changes.IntroductionHuman-centered design (HCD) [1] has been an important player in the future direction ofengineering education. HCD offers a promising approach to promote situated learning inengineering design projects, and to facilitate students’ learning of modern engineering skills [2].In our work with engineering faculty and students, we observed a disconnect betweenengineering sciences, especially those taught in the middle years of a program, and the open-ended design problems that learners must address in the workplace. For example, students maybe well-prepared to compute the deflection of a beam and even redesign its cross section tooptimize
design and develop complex systems, • Understand the practice of systems engineering across enterprises, and • Identify best practices to design and develop large projects.To attain the identified objectives, the course was designed to be delivered in 6 modules spreadacross 12 weeks, with two additional weeks accounted for student final project presentations.Details on the course modules and their SE learning outcomes are identified below.Module 1 - Class Orientation and Introduction to Systems Engineering: In this module, thestudents were introduced to each other in the class and then to the instructor. Students shared sharetheir names, professional experience, and the expectations they have for this course. Further, bythe end of this
andindustry. For example, while women earn 58% of undergraduate degrees across all disciplines,they account for only 24% of undergraduate students in engineering [1], [2]. Research suggeststhat this is partly due to women voluntarily choosing not to pursue an engineering educationbecause their main motivators (e.g., personal fulfillment, societal benefit) do not match theirperception of engineering careers [3], [4]. Consistent with these assertions, women earn an equalproportion of undergraduate degrees in certain engineering subfields that have an explicit goal ofimproving societal outcomes (e.g., biomedical engineering) [2]. Nevertheless, even inbiomedical engineering, there is a steep decline in female representation at the graduate studentand
Professor at George Mason University’s Department of Information Sciences and Technology. He earned his doctorate in Information Technology in 2003 from George Mason Univer- sity’s Volgenau School of Engineering (Fairfax, VA), and has since taught graduate courses there in big data analytics and ethics, operating systems, computer architecture and security, cloud computing, and electronic commerce. ©American Society for Engineering Education, 2023 Metacognition in Graduate Engineering Courses Larisa Olesova1, Duoduo Liao2, Ioulia Rytikova2, Mihai Boicu2, Harry Foxwell2 1
for investigating any situation [1]. Over recent years, this technology has significantlyexpanded its capabilities, aided by more powerful processors, greater visualization capacities, andmore sophisticated software. In addition, it can explore operational efficiencies, systemsutilization, bottleneck analysis, etc., using combinations of readily available computer softwarepackages, such as SIMIO, FlexSim, AnyLogic, spreadsheets and other visualizations tools [2, 3].The huge popularity of M&S can be seen in the wide set of application areas such asmanufacturing, transportation, government, and healthcare, along with its ability to driveincreasingly high-quality animation, helping practitioners in appropriate decision-making [4]. Inrecent
system. While assessments can be used todetermine the performance level of a student, they can also be used to direct their learning [1]. Intraditional assessment systems, the process is predominantly controlled and managed by theinstructor [2]. Self-assessment is an alternative to traditional assessments and is commonly usedin higher education to incentivize students to metacognitive learning engagements [3].There are distinct differences between self-assessment and traditional assessments. Traditionalassessments normally are in the form of standardized test measurements of a learner at a point intime such as quizzes and classroom tests [4]. These can use lower order thinking skills of alearner that has a predetermined way of evaluating